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Articles | Volume 13, issue 5
https://doi.org/10.5194/gmd-13-2185-2020
https://doi.org/10.5194/gmd-13-2185-2020
Development and technical paper
 | 
08 May 2020
Development and technical paper |  | 08 May 2020

Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study (v1.0)

Stephan Rasp

Data sets

Lorenz-Online S. Rasp https://github.com/raspstephan/Lorenz-Online

Model code and software

Lorenz-Online S. Rasp https://github.com/raspstephan/Lorenz-Online

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Short summary
Subgrid parameterizations are largely responsible for uncertainties in climate models. Recently,...
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